Custom AI Servers Built for Your Business
Stop paying cloud AI bills that never stop growing. We design and build custom LLM infrastructure that runs on your premises, cutting costs by up to 80% while keeping your data completely private. Purpose-built AI compute for Ontario businesses.
Cloud AI Costs Are Crushing Your Budget
Every API call to OpenAI, Anthropic, or Google adds up. Enterprise AI bills reach thousands per month, and you have zero control over your data. There is a better way.
- API costs grow exponentially as you scale AI usage
- Sensitive business data leaves your network with every API call
- Rate limits and outages disrupt your operations
- No control over model updates that can break your workflows
- Compliance and data residency requirements are hard to meet with cloud AI
- Vendor lock-in makes switching painful and expensive
Your Own AI Infrastructure, Built to Spec
We design, build, and deploy custom AI servers tailored to your workloads. Run open-source LLMs like Llama, Mixtral, or fine-tuned models on hardware you own. Unlimited usage, zero API fees, complete data privacy.
Why custom beats generic:
- Built for YOUR specific workflows and data
- Learns YOUR customer patterns over time
- Follows YOUR compliance requirements
- Gets smarter with every interaction
Your On-Premise LLM Infrastructure Gets Smarter Over Time
Unlike static chatbots, your custom AI agent learns from every interaction and delivers compounding value.
Day 1
Your AI starts with your business knowledge, ready to handle on-premise llm infrastructure tasks from the start.
Month 3
Having learned from thousands of interactions, accuracy increases and handling time drops significantly.
Year 1
Your AI knows your customers better than anyone - predicting needs, optimizing responses, maximizing conversions.
What Your On-Premise LLM Infrastructure Can Do
Custom Hardware Design
We spec and build AI servers optimized for your specific workloads. From single GPU workstations to multi-node clusters with NVIDIA H100s.
Open-Source LLM Deployment
Deploy Llama 3, Mixtral, Mistral, Phi, Qwen, or any open-source model. Fine-tune on your data for domain-specific performance.
Cost Analysis & ROI
We calculate your current AI spend and show exactly when on-premise pays for itself. Most businesses break even in 6-12 months.
Complete Data Privacy
Your data never leaves your building. Essential for healthcare, legal, financial, and government organizations with strict compliance requirements.
Integration Services
We integrate your on-premise AI with existing systems, applications, and workflows. API-compatible with your current AI tools.
Ongoing Support & Updates
Hardware maintenance, model updates, performance optimization, and 24/7 support options. We keep your AI infrastructure running smoothly.
On-Premise LLM Infrastructure in Action Across the GTA
Healthcare Systems in Toronto
PHIPA-compliant on-premise AI for patient data analysis, clinical documentation, and medical research. Data never leaves the hospital network.
Law Firms in Downtown Toronto
Private LLM infrastructure for contract analysis, legal research, and document review. Client confidentiality guaranteed with air-gapped deployment.
Financial Institutions in Mississauga
On-premise AI for fraud detection, risk analysis, and customer insights. Meets OSFI requirements for data residency and security.
Manufacturing Companies in Brampton
Local AI for quality control, predictive maintenance, and supply chain optimization. Runs without internet dependency on the factory floor.
Government Agencies Across Ontario
Sovereign AI infrastructure for citizen services, document processing, and policy analysis. Canadian data residency with complete audit trails.
Research Institutions in Waterloo
High-performance AI clusters for academic research, model training, and data analysis. Custom configurations for specific research needs.
Generic Chatbots
Static Forever
Same responses day 1 and day 1000
Private Agent
Learns & Grows
Gets smarter with every interaction
DIY Solutions
Requires ML Team
Months of development work
Frequently Asked Questions
How much does on-premise AI infrastructure cost?
Costs vary significantly based on your workload requirements - from entry-level AI workstations to enterprise clusters. We provide detailed quotes based on your specific needs and show ROI projections against your current cloud spend. Contact us for a personalized assessment.
How does the cost compare to cloud AI APIs?
It depends on usage volume. For businesses with significant cloud AI spend, on-premise can pay for itself within 12-18 months. We provide a detailed cost analysis during our consultation to show your specific ROI timeline.
What open-source models can we run?
Any open-source LLM including Llama 3 (8B, 70B, 405B), Mixtral, Mistral, Phi-3, Qwen, CodeLlama, and specialized models for healthcare, legal, and other domains. We can also fine-tune models on your proprietary data.
Is on-premise AI as good as ChatGPT or Claude?
For many business use cases, yes. Modern open-source models like Llama 3 70B and Mixtral 8x22B approach GPT-4 quality. For specialized tasks with fine-tuning on your data, they can actually outperform general-purpose cloud models.
What about security and compliance?
On-premise AI is inherently more secure. Your data never leaves your network. We build systems that meet PHIPA, PIPEDA, SOC 2, and other compliance frameworks. Air-gapped deployments are available for maximum security.
Do we need dedicated IT staff?
We offer managed services where we handle all maintenance, updates, and support remotely. For organizations preferring full control, we provide training and documentation. Most clients choose a hybrid approach.
How long does deployment take?
Hardware procurement takes 2-4 weeks depending on availability. Setup, configuration, and deployment typically add 1-2 weeks. Total timeline is usually 4-6 weeks from project start to production-ready infrastructure.
Can we start small and scale up?
Absolutely. Many clients start with a single GPU workstation to validate use cases, then expand to multi-GPU servers or clusters as needs grow. We design for scalability from day one.
On-Premise LLM Infrastructure Across the GTA & Ontario
Building AI infrastructure for businesses across Toronto, Mississauga, Brampton, Vaughan, Markham, Oakville, Burlington, Hamilton, Kitchener-Waterloo, and the entire Greater Toronto Area.
City of Toronto
- Downtown Toronto
- North York
- Scarborough
- Etobicoke
Peel Region
- Mississauga
- Brampton
- Caledon
York Region
- Vaughan
- Richmond Hill
- Markham
- Newmarket
Durham Region
- Oshawa
- Whitby
- Ajax
- Pickering
Ready for a On-Premise LLM Infrastructure That Learns & Grows?
Every solution is custom-built. Book a free consultation and let's design the perfect AI agent that gets smarter with your business.